What are the alternative AI chips?

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Accepted Answer

Alternative AI chips are being developed by various companies to address the inefficiencies and limitations of GPUs. Here are some notable alternatives:

1. **Special AI Chips by Various Companies**: 
   Many companies believe that special AI chips will be the future and are working on creating them ([[00:03:31]] - [[00:03:34]]).

2. **Cerebrus' Enormous Chip**: 
   Cerebrus is developing a chip that consolidates the cores typically found in around 100 GPUs into one enormous chip, which is the size of a dinner plate and can house 900,000 cores ([[00:06:00]] - [[00:06:27]]).

3. **Efficient Interconnection in AI Chips**: 
   One approach to making a dedicated AI chip more efficient is to improve the way cores are connected, reducing idle time by ensuring faster data delivery ([[00:05:31]] - [[00:05:53]]).

4. **Companies with Radical Ideas**: 
   Some startups are trying to leapfrog the traditional GPU approach by starting from scratch and developing completely new methods for AI processing. However, they face challenges due to NVIDIA's market dominance and the difficulty of getting software to work on new chips ([[00:09:30]] - [[00:09:56]]).

5. **Big Companies' AI Chips**: 
   Major tech companies like Amazon and Meta are developing their own AI chips for use in their cloud services. OpenAI is also considering creating its own AI chips ([[00:08:32]] - [[00:08:48]]).

The push for alternative AI chips is driven by the need to overcome the data shuffling issues and inefficiencies associated with GPUs ([[00:04:30]] - [[00:04:59]]), and the potential reward for breaking NVIDIA's dominance in the AI chip market is substantial ([[00:08:50]] - [[00:08:56]]).